[jira] [Created] (MAHOUT-1621) k-fold cross-validation in MapReduce Random Forest example?

[Tawfiq Hasanin (JIRA)]

Tawfiq Hasanin created MAHOUT-1621:
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             Summary: k-fold cross-validation in MapReduce Random Forest 
example?
                 Key: MAHOUT-1621
                 URL: https://issues.apache.org/jira/browse/MAHOUT-1621
             Project: Mahout
          Issue Type: Question
          Components: Examples
         Environment: Ubuntu Linux 14.04
            Reporter: Tawfiq Hasanin
             Fix For: 1.0


My goal is to modify MapReduce Random Forest example by combining 
BuildForest.java and TestForest.java into a new class called RandomForest.java

The main point is to input one data file which is going to be used in training 
and testing; with k-fold cross-validation. 

I have a big data with hight diminutional features and small amount of 
instances. 

Seems to be a frustrating dead-end. is this process achievable? Or is it 
against MapReduce nature? 

Thanks..



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